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Eye Tracking (ET) can help to understand visual attention and cognitive processes in interactive environments. In attention tasks, distinguishing between relevant target objects and distractors is crucial for effective performance, yet the…

Human-Computer Interaction · Computer Science 2025-08-29 Abdul Rehman , Ilona Heldal , Jerry Chun-Wei Lin

This paper focuses on developing a framework for uncovering insights about NDD children's performance (e.g., raw gaze cluster analysis, duration analysis \& area of interest for sustained attention, stimuli expectancy, loss of…

Human-Computer Interaction · Computer Science 2025-02-04 Abdul Rehman , Ilona Heldal , Diana Stilwell , Jerry Chun-Wei Lin

Cognitive training for sustained attention and working memory is vital across domains relying on robust mental capacity such as education or rehabilitation. Adaptive systems are essential, dynamically matching difficulty to user ability to…

Human-Computer Interaction · Computer Science 2026-02-19 Dominik Szczepaniak , Monika Harvey , Fani Deligianni

Event-based eye tracking holds significant promise for fine-grained cognitive state inference, offering high temporal resolution and robustness to motion artifacts, critical features for decoding subtle mental states such as attention,…

Computer Vision and Pattern Recognition · Computer Science 2025-08-12 Nuwan Bandara , Thivya Kandappu , Archan Misra

Eye-tracking has potential to provide rich behavioral data about human cognition in ecologically valid environments. However, analyzing this rich data is often challenging. Most automated analyses are specific to simplistic artificial…

Computer Vision and Pattern Recognition · Computer Science 2022-11-22 Karan Uppal , Jaeah Kim , Shashank Singh

Human gaze offers rich supervisory signals for understanding visual attention in complex visual environments. In this paper, we propose Eyes on Target, a novel depth-aware and gaze-guided object detection framework designed for egocentric…

Computer Vision and Pattern Recognition · Computer Science 2026-03-17 Vishakha Lall , Yisi Liu

Visual attention, derived from cognitive neuroscience, facilitates human perception on the most pertinent subset of the sensory data. Recently, significant efforts have been made to exploit attention schemes to advance computer vision…

Computer Vision and Pattern Recognition · Computer Science 2018-10-16 Shi Pu , Yibing Song , Chao Ma , Honggang Zhang , Ming-Hsuan Yang

Class incremental learning aims to solve a problem that arises when continuously adding unseen class instances to an existing model This approach has been extensively studied in the context of image classification; however its applicability…

Computer Vision and Pattern Recognition · Computer Science 2023-12-15 Junsu Kim , Sumin Hong , Chanwoo Kim , Jihyeon Kim , Yihalem Yimolal Tiruneh , Jeongwan On , Jihyun Song , Sunhwa Choi , Seungryul Baek

The recent growth of sophisticated digital gaming technologies has spawned an \$8.1B industry around using these games for pedagogical purposes. Though Digital Game-Based Learning Systems have been adopted by industries ranging from…

Human-Computer Interaction · Computer Science 2018-11-05 Brian An , Inki Kim , Erfan Pakdamanian , Donald E. Brown

Teachers' visual attention and its distribution across the students in classrooms can constitute important implications for student engagement, achievement, and professional teacher training. Despite that, inferring the information about…

Computer Vision and Pattern Recognition · Computer Science 2025-09-26 Efe Bozkir , Christian Kosel , Tina Seidel , Enkelejda Kasneci

This paper presents the selective use of eye-gaze information in learning human actions in Atari games. Vast evidence suggests that our eye movement convey a wealth of information about the direction of our attention and mental states and…

Machine Learning · Computer Science 2020-12-08 Chaitanya Thammineni , Hemanth Manjunatha , Ehsan T. Esfahani

We address the challenge of unsupervised mistake detection in egocentric video of skilled human activities through the analysis of gaze signals. While traditional methods rely on manually labeled mistakes, our approach does not require…

Computer Vision and Pattern Recognition · Computer Science 2025-07-17 Michele Mazzamuto , Antonino Furnari , Yoichi Sato , Giovanni Maria Farinella

While theories postulating a dual cognitive system take hold, quantitative confirmations are still needed to understand and identify interactions between the two systems or conflict events. Eye movements are among the most direct markers of…

Neurons and Cognition · Quantitative Biology 2020-02-27 Alessandro Rossi , Sara Ermini , Dario Bernabini , Dario Zanca , Marino Todisco , Alessandro Genovese , Antonio Rizzo

Learning goal conditioned control in the real world is a challenging open problem in robotics. Reinforcement learning systems have the potential to learn autonomously via trial-and-error, but in practice the costs of manual reward design,…

This paper introduces an innovative adaptive scoring framework for children with Neurodevelopmental Disorders (NDD) that is attributed to the integration of multiple metrics, such as spatial attention patterns, temporal engagement, and game…

Human-Computer Interaction · Computer Science 2025-09-11 Abdul Rehman , Ilona Heldal , Cristina Costescu , Carmen David , Jerry Chun-Wei Lin

Eye gaze is considered an important indicator for understanding and predicting user behaviour, as well as directing their attention across various domains including advertisement design, human-computer interaction and film viewing. In this…

Software Engineering · Computer Science 2024-11-21 Karolina Trajkovska , Matjaž Kljun , Klen Čopič Pucihar

In this paper, we present an approach based on reinforcement learning for eye tracking data manipulation. It is based on two opposing agents, where one tries to classify the data correctly and the second agent looks for patterns in the…

Machine Learning · Computer Science 2020-10-05 Wolfgang Fuhl , Efe Bozkir , Enkelejda Kasneci

Students often drift in and out of focus during class. Effective teachers recognize this and re-engage them when necessary. With the shift to remote learning, teachers have lost the visual feedback needed to adapt to varying student…

Computer Vision and Pattern Recognition · Computer Science 2024-09-26 Aimar Silvan Ortubay , Lucas C. Parra , Jens Madsen

In this study, a novel eye tracking system using a visual camera is developed to extract human's gaze, and it can be used in modern game machines to bring new and innovative interactive experience to players. Central to the components of…

Computer Vision and Pattern Recognition · Computer Science 2021-05-07 Manh Duong Phung , Cong Hoang Quach , Quang Vinh Tran

Reflection is a critical aspect of the learning process. However, educational games tend to focus on supporting learning concepts rather than supporting reflection. While reflection occurs in educational games, the educational game design…

Human-Computer Interaction · Computer Science 2020-06-22 Jennifer Villareale , Colan F. Biemer , Magy Seif El-Nasr , Jichen Zhu
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